Mobius AssetGuard
Mobius AssetGuard solutions focuses on predicting leading indicators of equipment failure. Rather than reacting to threshold breaches or alarms. By training models on high-resolution sensor data (SCADA), maintenance logs, and operational history, it identifies subtle patterns - such as vibration anomalies or temperature drifts - that precede breakdowns in critical assets like compressors, pumps, and turbines. The goal is to move organizations from reactive “firefighting” to optimized maintenance windows, which significantly rduces unplanned downtime and extends the remaining useful life of expensive industrial machinery.
Reinforcement Learning
AI Agents
Human AI Collaboration
Highlights
Core Capabilities
SCADA & Historian Modernization Integrates directly with trusted operational technology (OT) data, such as OSIsoft PI and SCADA systems, to contextualize and modernize fragmented sensor signals into a unified operational view.
Leading Indicator Detection Utilizes machine learning models to identify subtle anomalies in vibration, temperature, and pressure, detecting failures days before threshold-based manual alarms are triggered.
Predictive Maintenance Frameworks Applies defense-grade sensor modeling to predict the remaining useful life of high-value components, moving organizations away from rigid, calendar-based maintenance schedules toward condition-based interventions.
Quantifiable Business Impact
70% Gains in Operational Accuracy: Transitioning to condition-based maintenance provides massive precision improvements for mission-critical assets.
Significant Reduction in Unplanned Outages: Proactively addressing equipment health reduces the revenue loss associated with catastrophic failures and unplanned shutdowns.
Minimized Regulatory Risk: Supports mechanical integrity requirements for OSHA PSM (29 CFR 1910.119), reducing the likelihood of safety incidents and environmental exposure.
The Technology Foundation
AssetGuard is powered by our proprietary MLOps frameworks that combine data science with software development to create sustainable, enterprise-grade systems rather than one-time models. It leverages Deep Learning and IoT analytics to automate feature engineering for time-series signals and ensure continuous retraining, preventing the model drift that often undermines industrial AI.
Industry Applications
Energy
Acts as a sentinel for critical infrastructure by analyzing historical vibration, temperature, and pressure patterns in compressor stations and pumping units to prevent unplanned shutdowns and revenue loss.
Defense
Leverages aerospace sensor modeling to verify the "readiness" of mission-critical hardware, ensuring assets are operational and available at the "speed of relevance".
Healthcare
Monitors high-resolution manufacturing data to identify leading indicators of batch failure or quality deviations in medical devices before they reach consumers, avoiding costly FDA warnings and recalls.
Ready to Deploy AI That Works?
Let's discuss how Mobius Logic can help you build compliant, reliable Al systems for your mission-critical operations.